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Necessity of Neo-Symbolic Artificial Intelligence in food and agricultural sector for increased efficiency, accuracy and reliability : 푸드와 농업분야의 투명성, 정확성 그리고 신뢰성을 높이기 위한 네오-심볼릭 AI의 필요성에 대한 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 이기원 | - |
dc.contributor.author | 이정환 | - |
dc.date.accessioned | 2023-11-20T04:12:48Z | - |
dc.date.available | 2023-11-20T04:12:48Z | - |
dc.date.issued | 2023 | - |
dc.identifier.other | 000000179689 | - |
dc.identifier.uri | https://hdl.handle.net/10371/196153 | - |
dc.identifier.uri | https://dcollection.snu.ac.kr/common/orgView/000000179689 | ko_KR |
dc.description | 학위논문(석사) -- 서울대학교대학원 : 농업생명과학대학 푸드테크학과, 2023. 8. 이기원. | - |
dc.description.abstract | This explorative study delves into the dynamic and rapidly evolving market of AI driven Business Process Automation (AI -BPA) and Expert Advisory Systems (EAS) in food and agricultural sector through implementation of technology and software solutions to streamline and automate various repetitive and time-consuming tasks within an organization using a new approach known as the Neo-Symbolic AI. With the relentless pursuit of efficiency, cost reduction, and improved productivity, businesses across industries are increasingly turning to AI driven BPA solutions (AI -BPA) and Expert Advisory Systems (EAS). | - |
dc.description.tableofcontents | 1. Introduction 7
1.1 Overview of the current AI landscape 7 1.2 Dawn of Neo-Symbolic AI 8 1.3 Necessity for Neo-Symbolic AI in food and agricultural industry 9 2. Deep technology review: Neo-Symbolic AI 11 2.1 Technology of Mind AI 11 2.2 First and higher order logic vs Mind AI 29 2.3 Generative AI (ChatGPT) vs Mind AI 38 2.4 Human logic intelligence and Conversational AI as a service 42 3. Experimental Study and Explorative Analysis: Commercial use cases 45 3.1 Retail and E-commerce: Villa Markets inventory management 45 3.2 Smart Farming: T- Ecosys Expert advisory system 52 4. Conclusion 65 Bibliography 67 Abstract 69 | - |
dc.format.extent | LXIX, 69 | - |
dc.language.iso | eng | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | AI | - |
dc.subject | Canonical | - |
dc.subject | Machine Learning | - |
dc.subject | Foodtech | - |
dc.subject | Transparency | - |
dc.subject | Accuracy | - |
dc.subject.ddc | 338.47664 | - |
dc.title | Necessity of Neo-Symbolic Artificial Intelligence in food and agricultural sector for increased efficiency, accuracy and reliability | - |
dc.title.alternative | 푸드와 농업분야의 투명성, 정확성 그리고 신뢰성을 높이기 위한 네오-심볼릭 AI의 필요성에 대한 연구 | - |
dc.type | Thesis | - |
dc.type | Dissertation | - |
dc.contributor.AlternativeAuthor | Jung Hwan Lee | - |
dc.contributor.department | 농업생명과학대학 푸드테크학과 | - |
dc.description.degree | 석사 | - |
dc.date.awarded | 2023-08 | - |
dc.identifier.uci | I804:11032-000000179689 | - |
dc.identifier.holdings | 000000000050▲000000000058▲000000179689▲ | - |
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